Academic literature on the topic 'Citation'

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Journal articles on the topic "Citation"

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Hauner, Andrew. "Artistic Research as Citational Practice." Acta Academiae Artium Vilnensis, no. 109 (August 14, 2023): 149–62. http://dx.doi.org/10.37522/aaav.109.2023.164.

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Artistic research has helped verify how primary a role creative processes play in not only constructing knowledge but also questioning knowledge elitism. The particular power-knowledge problematics for artistic research – addressed in both academic and artistic ways in this paper – is academic quotation. I first trace critical qualitative inquiry into citation back to feminist ethnography’s so-called citational politics. Then, by methodologizing my own artistic research into the non-distinction between reading and citing academic language, I make it possible for citationality to be holistically understood as interplay between: citation’s technical role in academic writing; its quantitative role in academic capitalism; and its political role in academic positionality. The well-trodden citational genealogies called out by Sara Ahmed are replaced by citational pathways connecting the authoring academic to voices entirely outside the discourse community that is academia in, for example, the arts-based educational research of Camea Davis. In the final analysis, such artistic understandings of citationality – citations that transform what we mean by citation – have the power to redeploy citations as channels of communication for social change.
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Mendis, Kumara, Chris van Weel, Christopher Del Mar, and Roger Jones. "Citation, citation, citation." British Journal of General Practice 60, no. 577 (August 1, 2010): 561–62. http://dx.doi.org/10.3399/bjgp10x515241.

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Seiber, James N. "“Citation Classics” and Classic Citations inJAFC." Journal of Agricultural and Food Chemistry 58, no. 1 (January 13, 2010): 1–19. http://dx.doi.org/10.1021/jf9040386.

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Vella, Supradeepa. "Predictions of Citations of a Scholarly Paper." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 1735–38. http://dx.doi.org/10.22214/ijraset.2021.37657.

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Abstract: Bibliometrics is a statistical analysis of written publications such as books or articles. A bibliographic citationis a reference to a book, article, web page, or other published item. Thus citations are useful for identifying the progress ofthe particular work and measuring the quality of the research article. The cited papers are downloaded using the crawler. Fromthe downloaded article, identify article relation by analyzing the citation context of the article. So first extract the citation context from the article. Citation context are classifies based on cue phrases of Simon tufel. Next, identify the relation of unlabeled article by word embedding. After labeling all articles identifythe perspective behind the citation of the article. In this project, citation relation is identified based on cue phrases of Simon tufel finally article impact is quantified based on the citation network formed from citation analysis. Index Terms: bibliometrics, citation, word embedding, article
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Khodabakhshi, Najme, Maryam Shekofteh, Maryam Kazerani, and Sara Jambarsang. "Citation Accuracy in Obstetrics and Gynecology Journals indexed in the Web of Science." DESIDOC Journal of Library & Information Technology 41, no. 5 (August 26, 2021): 368–73. http://dx.doi.org/10.14429/djlit.41.5.16620.

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The accuracy of the citations is crucial in scientific writing. The present study aims to investigate the accuracy of citations in the obstetrics and gynecology journals indexed in the Web of Science. Major and minor citation errors, type of errors, and citation errors in the Q1 to Q4 journals investigate as the objectives. The journals were retrieved by searching the “Obstetrics & Gynecology” category in the Journal Citation Report (JCR) in the Web of Science, and journals in different quartiles (Q1-Q4) were identified by applying the JIF Quartile filter. Eight hundred forty citations were selected from articles in the first five Q1 to Q4 journals using systematic sampling and article type citations were included in the study (730 citations). Bibliographic elements were assessed for citation errors. Findings show that 554 citations (75.89 %) involved errors. Only 24.1 per cent of the citations had no errors. The highest citation errors were related to the volume and issue, with 582 major errors (79.72 %). The citation accuracy in the Q2 and Q3 journals is higher than in other journals. The high rate of citation errors, especially in volumes and numbers, indicates that the journals need to pay attention to citation accuracy in these sections and the use of valid and complete citation styles.
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Sibanda, Jabulani. "Citation Mania in Academic Theses Writing: A Case Study." Academic Journal of Interdisciplinary Studies 9, no. 4 (July 10, 2020): 219. http://dx.doi.org/10.36941/ajis-2020-0077.

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This study, premised on the assumption that students over-use citations in academic writing, investigated manifestations of over-citation in three PhD theses. A review of diverse pragmatic functions citations serve, helped in the identification of needless citations which lacked consonance with any of the functions. A content-context analysis of the pragmatic function of each citation in the three theses, revealed over-citation and superfluity in the theses. Manifestations of over-citation included: expressing general or common-sense information; using multiple citations to make a simple point; citing sources to express what the writer did; attributing own deductions and inferences to authors; not following-up on citations; repeating concepts and attendant citations in different parts of the thesis; making most thesis sections literature sections; citing individual words not ideas, unclear content of citation, independent citation of each source for the same idea, over-using a source within a paragraph or section, citing back to back, evincing citation density to the eye. On the basis of the varied manifestations of over-citation and the extent of its compromise on the quality of student presentations, the study recommends sustained efforts in developing sound academic writing skills even at postgraduate levels, and sensitisation of students to pragmatic purposes citations should serve.
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Zhao, Dangzhi, Alicia Cappello, and Lucinda Johnston. "Functions of Uni- and Multi-citations: Implications for Weighted Citation Analysis." Journal of Data and Information Science 2, no. 1 (February 18, 2017): 51–69. http://dx.doi.org/10.1515/jdis-2017-0003.

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AbstractPurpose(1) To test basic assumptions underlying frequency-weighted citation analysis: (a) Uni-citations correspond to citations that are nonessential to the citing papers; (b) The influence of a cited paper on the citing paper increases with the frequency with which it is cited in the citing paper. (2) To explore the degree to which citation location may be used to help identify nonessential citations.Design/methodology/approachEach of the in-text citations in all research articles published in Issue 1 of the Journal of the Association for Information Science and Technology (JASIST) 2016 was manually classified into one of these five categories: Applied, Contrastive, Supportive, Reviewed, and Perfunctory. The distributions of citations at different in-text frequencies and in different locations in the text by these functions were analyzed.FindingsFiltering out nonessential citations before assigning weight is important for frequency-weighted citation analysis. For this purpose, removing citations by location is more effective than re-citation analysis that simply removes uni-citations. Removing all citation occurrences in the Background and Literature Review sections and uni-citations in the Introduction section appears to provide a good balance between filtration and error rates.Research limitationsThis case study suffers from the limitation of scalability and generalizability. We took careful measures to reduce the impact of other limitations of the data collection approach used. Relying on the researcher’s judgment to attribute citation functions, this approach is unobtrusive but speculative, and can suffer from a low degree of confidence, thus creating reliability concerns.Practical implicationsWeighted citation analysis promises to improve citation analysis for research evaluation, knowledge network analysis, knowledge representation, and information retrieval. The present study showed the importance of filtering out nonessential citations before assigning weight in a weighted citation analysis, which may be a significant step forward to realizing these promises.Originality/valueWeighted citation analysis has long been proposed as a theoretical solution to the problem of citation analysis that treats all citations equally, and has attracted increasing research interest in recent years. The present study showed, for the first time, the importance of filtering out nonessential citations in weighted citation analysis, pointing research in this area in a new direction.
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Malkawi, Rami, Mohammad Daradkeh, Ammar El-Hassan, and Pavel Petrov. "A Semantic Similarity-Based Identification Method for Implicit Citation Functions and Sentiments Information." Information 13, no. 11 (November 17, 2022): 546. http://dx.doi.org/10.3390/info13110546.

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Automated citation analysis is becoming increasingly important in assessing the scientific quality of publications and identifying patterns of collaboration among researchers. However, little attention has been paid to analyzing the scientific content of the citation context. This study presents an unsupervised citation detection method that uses semantic similarities between citations and candidate sentences to identify implicit citations, determine their functions, and analyze their sentiments. We propose different document vector models based on TF-IDF weights and word vectors and compare them empirically to calculate their semantic similarity. To validate this model for identifying implicit citations, we used deep neural networks and LDA topic modeling on two citation datasets. The experimental results show that the F1 values for the implicit citation classification are 88.60% and 86.60% when the articles are presented in abstract and full-text form, respectively. Based on the citation function, the results show that implicit citations provide background information and a technical basis, while explicit citations emphasize research motivation and comparative results. Based on the citation sentiment, the results showed that implicit citations tended to describe the content objectively and were generally neutral, while explicit citations tended to describe the content positively. This study highlights the importance of identifying implicit citations for research evaluation and illustrates the difficulties researchers face when analyzing the citation context.
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Asaad, Malke, Austin Paul Kallarackal, Jesse Meaike, Aashish Rajesh, Rafael U. de Azevedo, and Nho V. Tran. "Citation Skew in Plastic Surgery Journals: Does the Journal Impact Factor Predict Individual Article Citation Rate?" Aesthetic Surgery Journal 40, no. 10 (November 20, 2019): 1136–42. http://dx.doi.org/10.1093/asj/sjz336.

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Abstract Background Citation skew refers to the unequal distribution of citations to articles published in a particular journal. Objectives We aimed to assess whether citation skew exists within plastic surgery journals and to determine whether the journal impact factor (JIF) is an accurate indicator of the citation rates of individual articles. Methods We used Journal Citation Reports to identify all journals within the field of plastic and reconstructive surgery. The number of citations in 2018 for all individual articles published in 2016 and 2017 was abstracted. Results Thirty-three plastic surgery journals were identified, publishing 9823 articles. The citation distribution showed right skew, with the majority of articles having either 0 or 1 citation (40% and 25%, respectively). A total of 3374 (34%) articles achieved citation rates similar to or higher than their journal’s IF, whereas 66% of articles failed to achieve a citation rate equal to the JIF. Review articles achieved higher citation rates (median, 2) than original articles (median, 1) (P < 0.0001). Overall, 50% of articles contributed to 93.7% of citations and 12.6% of articles contributed to 50% of citations. A weak positive correlation was found between the number of citations and the JIF (r = 0.327, P < 0.0001). Conclusions Citation skew exists within plastic surgery journals as in other fields of biomedical science. Most articles did not achieve citation rates equal to the JIF with a small percentage of articles having a disproportionate influence on citations and the JIF. Therefore, the JIF should not be used to assess the quality and impact of individual scientific work.
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Small, H., and E. Sweeney. "Clustering thescience citation index ® using co-citations." Scientometrics 7, no. 3-6 (March 1985): 391–409. http://dx.doi.org/10.1007/bf02017157.

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Dissertations / Theses on the topic "Citation"

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Sassen, Catherine J. (Catherine Jean). "Citation Accuracy in the Journal Literature of Four Disciplines : Chemistry, Psychology, Library Science, and English and American Literature." Thesis, University of North Texas, 1992. https://digital.library.unt.edu/ark:/67531/metadc279353/.

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The primary purpose of this study was to determine if there is a relationship between the bibliographic citation practices of the members of a discipline and the emphasis placed on citation accuracy and purposes in the graduate instruction of the discipline.
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Murray, Jonathan. "Finding Implicit Citations in Scientific Publications : Improvements to Citation Context Detection Methods." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173913.

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This thesis deals with the task of identifying implicit citations between scientific publications. Apart from being useful knowledge on their own, the citations may be used as input to other problems such as determining an author’s sentiment towards a reference, or summarizing a paper based on what others have written about it. We extend two recently proposed methods, a Machine Learning classifier and an iterative Belief Propagation algorithm. Both are implemented and evaluated on a common pre-annotated dataset. Several changes to the algorithms are then presented, incorporating new sentence features, different semantic text similarity measures as well as combining the methods into a single classifier. Our main finding is that the introduction of new sentence features yield significantly improved F-scores for both approaches.
Detta examensarbete behandlar frågan om att hitta implicita citeringar mellan vetenskapliga publikationer. Förutom att vara intressanta på egen hand kan dessa citeringar användas inom andra problem, såsom att bedöma en författares inställning till en referens eller att sammanfatta en rapport utifrån hur den har blivit citerad av andra. Vi utgår från två nyliga metoder, en maskininlärningsbaserad klassificerare och en iterativ algoritm baserad på en grafmodell. Dessa implementeras och utvärderas på en gemensam förannoterad datamängd. Ett antal förändringar till algoritmerna presenteras i form av nya särdrag hos meningarna (eng. sentence features), olika semantiska textlikhetsmått och ett sätt att kombinera de två metoderna. Arbetets huvudsakliga resultat är att de nya meningssärdragen leder till anmärkningsvärt förbättrade F-värden för de båda metoderna.
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Wouters, Paul. "The citation culture." Amsterdam : Universiteit van Amsterdam, 1999. http://garfield.library.upenn.edu/wouters/wouters.pdf.

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Hu, S. "Citation and Download Analysis." Thesis, Honours thesis, University of Tasmania, 2007. https://eprints.utas.edu.au/2506/1/syhu_thesis.pdf.

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Open access is a mechanism that maximizes the dissertation of scholarly literature world wide, by making them accessible without any financial or other barriers on the Internet. There is a rapid growth in self-archiving articles and publishing them in OA journals, which brings a great impact in research. This research is conducted to investigate whether there is an identifiable causal relationship between downloads and citations of the same articles in an open access repository, as well as the time-varying behaviours of downloading and subsequent citations if possible. To achieve such investigation, an automated monitoring web-based system has been developed for bringing downloading data and citation data together for analysis use. The result suggests that there is no significant pattern found in terms of all the monitored documents in the University of Tasmania open access repository, while this is not always the case if the scope is restricted to only thesis items.
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Bellakhdar, Abdelhak. "Saint-John Perse et le romantisme (Moi-monde-signe, citation et fausse citation)." Paris 3, 1993. http://www.theses.fr/1994PA030057.

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Le romantisme est une reference ontopoetique opposable a l'oeuvre de saint john-perse : le moi persien adhere au monde dont il fait l'eloge, alors que le moi romantique s'isole, s'eloigne du monde et l'assujettit a son verbe recreateur. La comparaison entre l'oeuvre de saint-john perse et le texte romantique revele des attitudes variees et paradoxales du lyrisme persien : - en premier lieu, un lyrisme "totemique" responsable d'une forme primaire d'une totale adhesion du moi au monde et au signe. - ensuite, un lyrisme "personnel" ou l'ecriture persienne reussit a citer le romantisme tout en endiguant la part doloriste. Dans ce cas, cette meme ecriture n'echappe pas a ses propres felures. - enfin, un lyrisme choral ou le moi-monde-signe accede a une secondarite salutaire. La parole entre guillemets participe de ces trois formes de lyrisme. Examinee semio-textuellement, philologiquement et statistiquement, elle se revele un archi-signe qui se prete a toutes les attitudes lyriques persiennes
Romanticism is an ontopoetic refence opposable to the work of saint-john perse : while perse's ego adheres to the world which it praises, the romantic ego isolates itself, withraws from the world and submits to its tone of speech, its re-creator. Thecomparaison between the work of saint-john perse and the romantic text reveals the existence of varied and paradoxical attitudes of perse's lyricism : - firstly, a "totemic" lyricism which is responsible for a primary form of a total adhesion of the ego to the world and sign. - secondly, a "personal" lyricism in which perse's writing manages to quote romanticism while refraining from quoting the "dolorous" part. - lastly, a choral lyricism in which ego-word-sign accedes to a salutary second state. The speech betwwen inverted commas has something of the nature of these tree forms of lyricism. Semio-textually, philologically and statistically examined, it proves to be an archi-sign which lends itself to all the "persian" lyrical attitudes
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Tolley, Rebecca. "Academic Searching and Citation Management." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/5735.

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Alshareef, Abdulrhman M. "Academic Recommendation System Based on the Similarity Learning of the Citation Network Using Citation Impact." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39111.

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In today's significant and rapidly increasing amount of scientific publications, exploring recent studies in a given research area and building an effective scientific collaboration has become more challenging than any time before. Scientific production growth has been increasing the difficulties for identifying the most relevant papers to cite or to find an appropriate conference or journal to submit a paper to publish. As a result, authors and publishers rely on different analytical approaches in order to measure the relationship among the citation network. Different parameters have been used such as the impact factor, number of citations, co-citation to assess the impact of the produced research publication. However, using one assessing factor considers only one level of relationship exploration, since it does not reflect the effect of the other factors. In this thesis, we propose an approach to measure the Academic Citation Impact that will help to identify the impact of articles, authors, and venues at their extended nearby citation network. We combine the content similarity with the bibliometric indices to evaluate the citation impact of articles, authors, and venues in their surrounding citation network. Using the article metadata, we calculate the semantic similarity between any two articles in the extended network. Then we use the similarity score and bibliometric indices to evaluate the impact of the articles, authors, and venues among their extended nearby citation network. Furthermore, we propose an academic recommendation model to identify the latent preferences among the citation network of the given article in order to expose the concealed connection between the academic objects (articles, authors, and venues) at the citation network of the given article. To reveal the degree of trust for collaboration between academic objects (articles, authors, and venues), we use the similarity learning to estimate the collaborative confidence score that represents the anticipation of a prospect relationship between the academic objects among a scientific community. We conducted an offline experiment to measure the accuracy of delivering personalized recommendations, based on the user’s selection preferences; real-world datasets were used. Our evaluation results show a potential improvement to the quality of the recommendation when compared to baseline recommendation algorithms that consider co-citation information.
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Pillu, Hugo. "Knowledge flows through patent citation data." Phd thesis, Ecole Centrale Paris, 2009. http://tel.archives-ouvertes.fr/tel-00458678.

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Dans cette thèse, nous analysons les différents aspects des externalités de connaissance et la façon dont les citations de brevet peuvent être utilisées comme un indicateur de ces flux. La première partie de cette thèse examine la littérature traditionnelle sur les externalités de connaissance, et cela d'un point de vue à la fois qualitatif et quantitatif (la forme quantitative est réalisée grâce à une méta-analyse). Nous insistons sur les conséquences résultant de l'utilisation de différents canaux de mesure de ces externalités, précisément nous nous attardons sur les hypothèses sous-jacentes et sur leurs implications en termes d'estimations empiriques. Ce point est important car ces canaux sont la principale source d'hétérogénéité des résultats empiriques. Dans la seconde partie, nous explorons des données de brevets et de citations de brevet encore peu étudiées (ces données sont extraites de la base de données Patstat pour les offices de brevets du G5, de l'OEB et de l'OMPI). Cette analyse est à nouveau réalisée à la fois en termes qualitatifs et quantitatifs. La troisième partie, dans un premier temps, examine de façon empirique les caractéristiques des flux de connaissance entre et au sein des inventeurs des pays du G5 et cela pour 13 secteurs industriels. Dans un deuxième temps, cette partie propose et valide la création d'un indicateur de stocks de connaissance qui prend en compte les externalités de connaissance internationales. Cet indicateur se révèle particulièrement utile puisque les indicateurs traditionnels ne sont pas toujours disponibles (comme les indicateurs basés sur les dépenses de R&D). Enfin, l'indicateur précédemment créé sera appliqué à une étude de cas consacrée à l'analyse des déterminants de l'innovation pour les technologies énergétiques efficientes.
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Ritchie, Anna. "Citation context analysis for information retrieval." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611136.

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Lorente, Catherine. "Citation et mémoire : Queneau, Perec, Bénabou." Paris 8, 2000. http://www.theses.fr/2000PA081636.

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Partant de l'idee que la citation entretient une relation privilegiee avec la memoire litteraire, une analyse de ce rapport est proposee chez trois auteurs oulipiens qui pratiquent la citation dite << implicite >>, c'est-a-dire non signalee, et meme deformee : raymond queneau. Georges perec et marcel benabou. La question principale est celle de la transmission et en particulier du rapport des auteurs a la memoire litteraire. La these s'articule en trois parties correspondant a chacun des auteurs etudies et a chaque aspect de la question : 1) la transmission de l'oeuvre dans les fleurs bleues 2) la cooperation du lecteur dans la vie mode d'emploi 3) la memoire de l'auteur dans pourquoi je n'ai ecrit aucun de mes livres.
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Books on the topic "Citation"

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Champoux, Geneve, and Ceceilia Parnther. Citation. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc., 2022. http://dx.doi.org/10.4135/9781071892541.

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Smith, Pohla. Citation. Lexington, Ky: Eclipse Press, 2000.

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Golosovsky, Michael. Citation Analysis and Dynamics of Citation Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28169-4.

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McGaugh, Tracy L. Interactive citation workbook for ALWD citation manual. 2nd ed. Newark, NJ: LexisNexis, 2008.

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McGaugh, Tracy L. Interactive citation workbook for ALWD citation manual. 2nd ed. Newark, NJ: LexisNexis, 2003.

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Information, Institute for Scientific. Social sciences citation index: Journal citation reports. Philadelphia, Pa: Institute for Scientific Information, 1989.

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1963-, Dickerson Darby, and Association of Legal Writing Directors., eds. ALWD citation manual: A professional system of citation. 4th ed. New York, NY: Aspen Publishers, 2010.

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Dickerson, Darby. ALWD citation manual: A professional system of citation. 4th ed. New York, NY: Aspen Publishers, 2010.

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1963-, Dickerson Darby, and Association of Legal Writing Directors., eds. ALWD citation manual: A professional system of citation. Gaithersburg: Aspen Law and Business, 2000.

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1963-, Dickerson Darby, and Association of Legal Writing Directors., eds. ALWD citation manual: A professional system of citation. 3rd ed. New York, NY: Aspen Publishers, 2006.

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Book chapters on the topic "Citation"

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Mitra, Prasenjit. "Citation." In Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_50-2.

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Mitra, Prasenjit. "Citation." In Encyclopedia of Database Systems, 330. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_50.

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Menon, Madhavi. "Citation." In Unhistorical Shakespeare, 73–93. New York: Palgrave Macmillan US, 2008. http://dx.doi.org/10.1057/9780230614574_4.

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Cantino, Philip D., and Kevin de Queiroz**. "Citation." In International Code of Phylogenetic Nomenclature (PhyloCode), 93–96. Version 6. | Boca Raton : CRC Press, 2020. | Ratified on January 20, 2019, by the Committee on Phylogenetic Nomenclature, of the International Society for Phylogenetic Nomenclature: CRC Press, 2020. http://dx.doi.org/10.1201/9780429446320-11.

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Di Santo, Michele. "Citation." In Springer Proceedings in Physics, 325. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18596-0_31.

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Hébert, Louis. "Citation." In Introduction to Literary Analysis, 233–43. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003179795-20.

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Mitra, Prasenjit. "Citation." In Encyclopedia of Database Systems, 425–26. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_50.

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Nahler, Gerhard. "citation style." In Dictionary of Pharmaceutical Medicine, 26–27. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_192.

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Radicchi, Filippo, Santo Fortunato, and Alessandro Vespignani. "Citation Networks." In Understanding Complex Systems, 233–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23068-4_7.

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Lingard, Lorelei, and Christopher Watling. "Citation Technique." In Story, Not Study: 30 Brief Lessons to Inspire Health Researchers as Writers, 21–26. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71363-8_4.

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Conference papers on the topic "Citation"

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Liang, Yuan, Massimo Poesio, and Roonak Rezvani. "A Fine-grained citation graph for biomedical academic papers: the finding-citation graph." In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 416–26. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.bionlp-1.33.

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H C, Rakshith Gowda, Kushal Srinivas Raj, and Anand Kumar Madasamy. "Citation Intent Classification Using Transformers." In 2024 IEEE Students Conference on Engineering and Systems (SCES), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/sces61914.2024.10652428.

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Eremenko, Tatiana. "Citation locality as a scientometric indicator for regional researchers: On target setting." In The Book. Culture. Education. Innovations. Russian National Public Library for Science and Technology, 2020. http://dx.doi.org/10.33186/978-5-85638-223-4-2020-94-96.

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Introduction of the scientometric indicator for citation quality evaluation is substantiated. The author suggests introducing the term “Citation locality coefficient”. To define permissible level of citation locality, two criteria are introduced: (1) for regional researchers, the number of citations in the local scientific journals and (2) for regional researchers, the number of citations in publications affiliated with the regional organizations. The calculation logics based on Herfindahl index and permissible self-citation ratio is substantiated.
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Pechnikov, Andrey Anatolievich, Dmitry Evgenievch Chebukov, and Anthony M. Nwohiri. "On some journal citation properties: Math-Net.Ru as a case." In 23rd Scientific Conference “Scientific Services & Internet – 2021”. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/abrau-2021-8-ceur.

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This paper presents a study of bibliographical references cited in articles published by MathNet.Ru journals. Based on data obtained from mathematical portal Math-Net.Ru, we built a journals citation graph, with its vertices denoting journals, and edges representing bibliographical references (citations) between papers published in these journals. To increase the reliability of the constructed graph, we chose a 2010-2021 citation time interval, when distribution of citing papers (papers that have cited other works) had stabilized at 3500-4500 citations per year. The structure of citation ageing is investigated; it is shown that the half-life of these citations is 8 years. So, the publication date of cited papers (papers that have been cited by other works) was limited to the year 2002. The constructed citation graph was found to have a small diameter and high density, indicating that there is a high level of research collaboration in Math-Net.Ru. It is shown that there is no Matthew effect as a pronounced advantage in the citations of leading journals in relation to less well-known ones. The adequacy of the Math-Net.Ru journal citation graph as a scientific collaboration model is confirmed by comparing the ranking of journals included the citation graph with their Science Index ranking in scientific electronic library eLIBRARY.RU. The two rankings were found to have a direct moderate relationship between themselves. A number of substantive conclusions are drawn from analysis of the citation graph.
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Ji, Taoran, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, and Naren Ramakrishnan. "Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/364.

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Modeling and forecasting forward citations to a patent is a central task for the discovery of emerging technologies and for measuring the pulse of inventive progress. Conventional methods for forecasting these forward citations cast the problem as analysis of temporal point processes which rely on the conditional intensity of previously received citations. Recent approaches model the conditional intensity as a chain of recurrent neural networks to capture memory dependency in hopes of reducing the restrictions of the parametric form of the intensity function. For the problem of patent citations, we observe that forecasting a patent's chain of citations benefits from not only the patent's history itself but also from the historical citations of assignees and inventors associated with that patent. In this paper, we propose a sequence-to-sequence model which employs an attention-of-attention mechanism to capture the dependencies of these multiple time sequences. Furthermore, the proposed model is able to forecast both the timestamp and the category of a patent's next citation. Extensive experiments on a large patent citation dataset collected from USPTO demonstrate that the proposed model outperforms state-of-the-art models at forward citation forecasting.
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Pechnikov, Andrey Anatolievich, and Dmitry Evgenievch Chebukov. "Structure of the journal citation network Math-Net.Ru." In 23rd Scientific Conference “Scientific Services & Internet – 2021”. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/abrau-2021-2.

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According to the portal Math-Net.Ru a graph of journal citation is constructed. To increase the reliability of the model, the citation time interval was chosen from 2010 to 2021, when the distribution of citation articles stabilized at the level of 3500-4500 citations per year. The structure of link aging is studied and it is shown that their half-life is equal to 8 years. Therefore, the publication date of the cited articles was limited to 2002. For the constructed citation graph, the main properties, such as a small diameter and a high density, are obtained, indicating a high level of scientific communication in the Math-Net.Ru. Adequacy of the journal citation graph Math-Net.Ru as a model of scientific communication confirmed by comparing the ranking of journals in the citation graph with their SCIENCE INDEX rating in eLIBRARY.RU. A direct moderate relationship between the two rankings is shown. A number of meaningful conclusions are drawn from the analysis of the citation graph.
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Donner, Paul. "Clustering experiments with the Astro benchmarking data set with semantic document embeddings – off-the-shelf vs. custom embeddings created from citations, text, and both." In 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). International Conference on Science, Technology and Innovation Indicators, 2023. http://dx.doi.org/10.55835/643fed628e529cfebf33f797.

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What accounts for the observed better quality of publication-level topical science clustering solutions which use only citation relations as input data, compared to those using sophisticated semantic similarity data derived from both citations and textual terms? A survey of empirical work relevant to the concept of unconscientious referencing practices indicates that purely citation-based methods should be affected by significant ‘citation noise’, unlike text-based methods. This study continues work with the Astro benchmarking data set for bibliometric clustering by applying semantic representation learning techniques to scientific documents in order to isolate the clustering performance difference between direct citations and textual terms. We investigate variants of Random Indexing embeddings learned on this data set and one pre-trained off-the-shelf semantic document embedding, SPECTER. The evaluation is performed with four previously introduced validation data sets but using a newly suggested clustering evaluation measure.
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Parthasarathy, G., and D. C. Tomar. "Sentiment analyzer: Analysis of journal citations from citation databases." In 2014 5th International Conference- Confluence The Next Generation Information Technology Summit. IEEE, 2014. http://dx.doi.org/10.1109/confluence.2014.6949321.

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"Citation Information." In 2010 43rd Hawaii International Conference on System Sciences. IEEE, 2010. http://dx.doi.org/10.1109/hicss.2010.105.

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"Citation Format." In 2009 42nd Hawaii International Conference on System Sciences. IEEE, 2009. http://dx.doi.org/10.1109/hicss.2009.109.

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Reports on the topic "Citation"

1

Kostoff, Ronald N., and Wendy L. Martinez. Science and Technology Citation Analysis is Citation Normalization Realistic. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada426271.

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Puebla, Iratxe. Making data citations available at scale: The Global Open Data Citation Corpus by Iratxe Puebla. Iratxe Puebla, October 2023. http://dx.doi.org/10.13003/i8hfdanapg.

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Azoulay, Pierre, and Freda Lynn. Self-Citation, Cumulative Advantage, and Gender Inequality in Science. Cambridge, MA: National Bureau of Economic Research, March 2020. http://dx.doi.org/10.3386/w26893.

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Grigas, Vincas, and Pavla Vizváry. “Who Cares?” Defining Citation Style in Scholarly Journals by Vincas Grigas and Pavla Vizváry. Vincas Grigas, October 2023. http://dx.doi.org/10.13003/tyad9xtruc.

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This poster is presented by Vincas Grigas Vilnius University. Summary of abstract: Dr. Ian Malcolm from Jurassic Park once said, “Your scientists were so preoccupied with whether or not they could, they didn’t stop to think if they should.” This applies to academic publishing because it has numerous citation styles (10,377 in fact) that cause confusion. Crossref, which registers digital identifiers, reported that only half its registered articles have reference lists. A study of 270 reputable journals showed that most don’t require a specific citation style, giving authors examples instead. APA was the next common style, with others like Vancouver, Harvard, Chicago following. Even unnamed citation styles often matched known styles like APA and Harvard, but with minor changes. Despite digital identifiers’ importance, only 41.1% of journals requested them from authors, yet 78.1% did include them. The citation style choices were influenced more by the journal’s scientific field and less by the country of origin.
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Fominykh, K. S., and L. A. Vasilenko. Scientific Citation Index as a Management Tool: Problems and Prospects. Bulletin of the South Ural State University, 2015. http://dx.doi.org/10.18411/vasilenko1-4.

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Semerikov, Serhiy O., Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko, and Arnold E. Kiv. Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2651.

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It is shown that the calculation of scientometric indicators of the scientist and also the scientific journal continues to be an actual problem nowadays. It is revealed that the leading scientometric databases have the capabilities of automated metadata collection from the scientific journal website by the use of specialized electronic document management systems, in particular Open Journal Systems. It is established that Open Journal Systems successfully exports metadata about an article from scientific journals to scientometric databases Scopus, Web of Science and Google Scholar. However, there is no standard method of export from Open Journal Systems to such scientometric databases as the Russian Science Citation Index and Index Copernicus, which determined the need for research. The aim of the study is to develop the plug-in to the Open Journal Systems for the export of data from this system to scientometric database Russian Science Citation Index. As a result of the study, an infological model for exporting metadata from Open Journal Systems to the Russian Science Citation Index was proposed. The SirenExpo plug-in was developed to export data from Open Journal Systems to the Russian Science Citation Index by the use of the Articulus release preparation system.
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Jaffe, Adam, and Gaétan de Rassenfosse. Patent Citation Data in Social Science Research: Overview and Best Practices. Cambridge, MA: National Bureau of Economic Research, January 2016. http://dx.doi.org/10.3386/w21868.

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Kostoff, Ronald N., J. A. del Rio, Esther O. Garcia, Ana M. Ramirez, and James A. Humenik. Science and Technology Text Mining: Citation Mining of Dynamic Granular Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada418862.

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Smart, Scott, and Joel Waldfogel. A Citation-Based Test for Discrimination at Economics and Finance Journals. Cambridge, MA: National Bureau of Economic Research, February 1996. http://dx.doi.org/10.3386/w5460.

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Hall, Bronwyn, Adam Jaffe, and Manuel Trajtenberg. The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools. Cambridge, MA: National Bureau of Economic Research, October 2001. http://dx.doi.org/10.3386/w8498.

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